Increasingly rapid changes and highly precise manufacturing environments require timely
monitoring and intervention when deemed necessary. Traditional Statistical Process Control …

Control chart pattern recognition has become an active area of research since late 1980s.
Much progress has been made, in which there are trends to heighten the performance of …

In this study we tried to cover the Optical Character Recognition (OCR) systems used for off-
line Arabic Optical Text Recognition (AOTR). We cast some light on the characteristics of …

Publisher Summary Feature selection is one of the important steps in designing a pattern
recognizer. This chapter presents a study to select a minimal set of statistical features for …

The control chart (CC) is an important tool in Statistical Process Control (SPC) to improve the
quality of products and processes. An unnatural variation in control maps assumes that an …

A new type of neural network for recognition tasks is presented. The network, which is called
the" dynamic supervised forward-propagation network"(DSFPN), is based on the forward …

An intelligent control chart pattern recognition system is essential for efficient monitoring and
diagnosis process variation in automated manufacturing environment. Artificial neural …

In this paper, a tool that uses an argumentation based decision making framework is
proposed for the construction of mutual fund portfolios. The argumentation framework is …

Isolated characters, especially Latin characters, usually contain many branches on their
characters' nodes that causes difficulties to decide which direction would a traverse …

An intelligent control chart pattern recognition system is essential for efficient monitoring and
diagnosis process variation in automated manufacturing environment. Artificial neural …